Using indirect blockmodeling for monitoring students roles in collaborative learning networks

E. Medina; D. Vega; R. Meseguer; Humberto jesus Medina; S.F. Ochoa; M. Magnani

doi:10.1109/CSCWD.2016.7565982

Using indirect blockmodeling for monitoring students roles in collaborative learning networks

E. Medina, D. Vega, R. Meseguer, Humberto jesus Medina, S.F. Ochoa, M. Magnani

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding

6 Citations (Scopus)

69 Downloads (Pure)

Abstract

Collaborative learning activities have shown to be useful to address educational processes in several contexts. Monitoring these activities is mandatory to determine the quality of the collaboration and learning processes. Recent research works propose using Social Network Analysis techniques to understand students' collaboration learning process during these experiences. Aligned with that, this paper proposes the use of the indirect blockmodeling network analytic technique for monitoring the behaviour of different social roles played by students in collaborative learning scenarios. The usefulness of this technique was evaluated through a study that analysed the students' interaction network in a collaborative learning activity. Particularly, we tried to understand the structure of the interaction network during that process. Preliminary results suggest that indirect blockmodeling is highly useful for inferring and analysing the students' social roles, when the behaviour of roles are clearly different among them. This technique can be used as a monitoring service that can be embedded in collaborative learning applications.

Original language	English
Title of host publication	IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Editors	Weiming Shen, Xiaoping Liu, Chunsheng Yang, Jean-Paul Barthès, Junzhou Luo, Limin Chen, Jianming Yong
Publisher	IEEE
Pages	164-169
ISBN (Print)	978-1-5090-1915-1
DOIs	https://doi.org/10.1109/CSCWD.2016.7565982
Publication status	Published - 15 Sept 2016
Event	IEEE 20th International Conference on Computer Supported Cooperative Work in Design - Nanchang, China Duration: 4 May 2016 → 6 May 2016

Conference

Conference	IEEE 20th International Conference on Computer Supported Cooperative Work in Design
Abbreviated title	CSCWD
Country/Territory	China
City	Nanchang
Period	4/05/16 → 6/05/16

Bibliographical note

This paper was given at the IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD) 4-6 May 2016, Nanchang, China
“© 2016 IEEE. Personal use of this material is permitted. Permission
from IEEE must be obtained for all other uses, in any current or future
media, including reprinting/republishing this material for advertising or
promotional purposes, creating new collective works, for resale or
redistribution to servers or lists, or reuse of any copyrighted
component of this work in other works.”

Keywords

social network analysis
Indirect blockmodeling
collaborative learning
learning monitoring
role detection

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10.1109/CSCWD.2016.7565982

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Cite this

Medina, E., Vega, D., Meseguer, R., Medina, H. J., Ochoa, S. F., & Magnani, M. (2016). Using indirect blockmodeling for monitoring students roles in collaborative learning networks. In W. Shen, X. Liu, C. Yang, J.-P. Barthès, J. Luo, L. Chen, & J. Yong (Eds.), IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 164-169). IEEE. https://doi.org/10.1109/CSCWD.2016.7565982

Using indirect blockmodeling for monitoring students roles in collaborative learning networks. / Medina, E.; Vega, D.; Meseguer, R. et al.
IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD). ed. / Weiming Shen; Xiaoping Liu; Chunsheng Yang; Jean-Paul Barthès; Junzhou Luo; Limin Chen; Jianming Yong. IEEE, 2016. p. 164-169.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding

Medina, E, Vega, D, Meseguer, R, Medina, HJ, Ochoa, SF & Magnani, M 2016, Using indirect blockmodeling for monitoring students roles in collaborative learning networks. in W Shen, X Liu, C Yang, J-P Barthès, J Luo, L Chen & J Yong (eds), IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, pp. 164-169, IEEE 20th International Conference on Computer Supported Cooperative Work in Design, Nanchang, China, 4/05/16. https://doi.org/10.1109/CSCWD.2016.7565982

Medina E, Vega D, Meseguer R, Medina HJ, Ochoa SF, Magnani M. Using indirect blockmodeling for monitoring students roles in collaborative learning networks. In Shen W, Liu X, Yang C, Barthès JP, Luo J, Chen L, Yong J, editors, IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE. 2016. p. 164-169 doi: 10.1109/CSCWD.2016.7565982

Medina, E. ; Vega, D. ; Meseguer, R. et al. / Using indirect blockmodeling for monitoring students roles in collaborative learning networks. IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD). editor / Weiming Shen ; Xiaoping Liu ; Chunsheng Yang ; Jean-Paul Barthès ; Junzhou Luo ; Limin Chen ; Jianming Yong. IEEE, 2016. pp. 164-169

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AB - Collaborative learning activities have shown to be useful to address educational processes in several contexts. Monitoring these activities is mandatory to determine the quality of the collaboration and learning processes. Recent research works propose using Social Network Analysis techniques to understand students' collaboration learning process during these experiences. Aligned with that, this paper proposes the use of the indirect blockmodeling network analytic technique for monitoring the behaviour of different social roles played by students in collaborative learning scenarios. The usefulness of this technique was evaluated through a study that analysed the students' interaction network in a collaborative learning activity. Particularly, we tried to understand the structure of the interaction network during that process. Preliminary results suggest that indirect blockmodeling is highly useful for inferring and analysing the students' social roles, when the behaviour of roles are clearly different among them. This technique can be used as a monitoring service that can be embedded in collaborative learning applications.

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Using indirect blockmodeling for monitoring students roles in collaborative learning networks

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Keywords

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